Evaluation of 2D shape likeness for surface reconstruction

Surface or shape reconstruction from 3D digitizations performed in planar samplings are frequent in product design, reverse engineering, rapid prototyping, medical and artistic applications, etc -- The planar slicing of the object offers an opportunity to recover part of the neighborhood information...

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Autores:
Ruíz, Óscar Eduardo
Cadavid, Carlos Alberto
Granados, Miguel
Tipo de recurso:
Fecha de publicación:
2002
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/9795
Acceso en línea:
http://hdl.handle.net/10784/9795
Palabra clave:
DESARROLLO DE PROTOTIPOS
TEORÍA DE MORSE
ISOMORFISMO (MATEMÁTICAS)
VARIEDADES (MATEMÁTICAS)
IMAGEN TRIDIMENSIONAL EN DISEÑO
Prototype development
Morse theory
Isomorphisms (Mathematics)
Manifolds (Mathematics)
Design imaging
Prototype development
Morse theory
Isomorphisms (Mathematics)
Manifolds (Mathematics)
Design imaging
Geometría computacional
Reconstrucción superficial
Ingeniería inversa
Rights
License
Acceso cerrado
Description
Summary:Surface or shape reconstruction from 3D digitizations performed in planar samplings are frequent in product design, reverse engineering, rapid prototyping, medical and artistic applications, etc -- The planar slicing of the object offers an opportunity to recover part of the neighborhood information essential to reconstruct the topological 2-manifold embedded in R3 that approximates the object surface -- Next stages of the algorithms find formidable obstacles that are classified in this investigation by the following taxonomy: (i) Although real objects have manifold boundaries, in objects with thin sections or walls, the manifold property remains in the data sample only at the price of very small sampling intervals and large data sets -- For relaxed sampling rates nonmanifold situations are likely -- (ii) The position of the planar slices may produce an associated level function which is non – Morse -- This for example allows the set of critical points of the associated level function to contain one or even two dimensional pieces -- The fact that the Hessian matrix at critical points is non-singular is the Morse condition (as a consequence, critical points are isolated), and allows for the algorithms presented here -- (iii) For Morse condition, the slicing interval may be such that several critical points occur between immediate slices (non- simple condition) -- This article presents the degenerate cases arising from points (i)-(iii) and discusses a shape reconstruction algorithm for digitizations holding the Morse – simple condition -- It presents the results of applying the prescribed algorithms to data sets, and discusses future actions that enlarge the mentioned scope